Raju S. Bapi
Orcid: 0000-0003-2204-0890Affiliations:
- University of Hyderabad, School of Computer and Information Sciences / Cognitive Science Lab, India
According to our database1,
Raju S. Bapi
authored at least 109 papers
between 1990 and 2024.
Collaborative distances:
Collaborative distances:
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on scopus.com
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Bibliography
2024
HyperGALE: ASD Classification via Hypergraph Gated Attention with Learnable Hyperedges.
CoRR, 2024
2023
CoRR, 2023
CoRR, 2023
Proceedings of the Pattern Recognition and Machine Intelligence, 2023
Exploring Emergent Properties of Recurrent Neural Networks Using a Novel Energy Function Formalism.
Proceedings of the Machine Learning, Optimization, and Data Science, 2023
Application of Graph Theoretic measures for assessing efficacy of Stroke Rehabilitation.
Proceedings of the International Joint Conference on Neural Networks, 2023
Dynamic functional connectivity analysis in individuals with Autism Spectrum Disorder.
Proceedings of the International Joint Conference on Neural Networks, 2023
Emergence of Direction Selectivity and Motion Strength in Dot Motion Task Through Deep Reinforcement Learning Networks.
Proceedings of the International Joint Conference on Neural Networks, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
Ayu-Characterization of healthy aging from neuroimaging data with deep learning and rsfMRI.
Frontiers Comput. Neurosci., 2022
A Conservative Q-Learning approach for handling distribution shift in sepsis treatment strategies.
CoRR, 2022
Neural Language Taskonomy: Which NLP Tasks are the most Predictive of fMRI Brain Activity?
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
LRH-Net: A Multi-level Knowledge Distillation Approach for Low-Resource Heart Network.
Proceedings of the Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health, 2022
Deep Learning Approach for Classification and Interpretation of Autism Spectrum Disorder.
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
Characterizing the Dynamic Reorganization in Healthy Ageing and Classification of Brain Age.
Proceedings of the International Joint Conference on Neural Networks, 2022
Multiple Kernel Learning for Modeling Resting State EEG Connectomes using Structural Connectivity of the Brain.
Proceedings of the International Joint Conference on Neural Networks, 2022
A Phenomenological Deep Oscillatory Neural Network Model to Capture the Whole Brain Dynamics in Terms of BOLD Signal.
Proceedings of the Neural Information Processing - 29th International Conference, 2022
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Proceedings of the Big Data Analytics - 10th International Conference, 2022
2021
Brain Affective System Inspired Control Architecture: An Application to Nonlinear System.
IEEE Access, 2021
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021
2020
HED-ID: An Affective Adaptation Model Explaining the Intensity-Duration Relationship of Emotion.
IEEE Trans. Affect. Comput., 2020
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020
2019
Resting state dynamics meets anatomical structure: Temporal multiple kernel learning (tMKL) model.
NeuroImage, 2019
CoRR, 2019
CoRR, 2019
Employing Temporal Properties of Brain Activity for Classifying Autism Using Machine Learning.
Proceedings of the Pattern Recognition and Machine Intelligence, 2019
Temporal Dynamics of the Brain Using Variational Bayes Hidden Markov Models: Application in Autism.
Proceedings of the Pattern Recognition and Machine Intelligence, 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
2018
Int. J. Mach. Learn. Cybern., 2018
Machine learning models to predict the progression from early to late stages of papillary renal cell carcinoma.
Comput. Biol. Medicine, 2018
Age, Disease, and Their Interaction Effects on Intrinsic Connectivity of Children and Adolescents in Autism Spectrum Disorder Using Functional Connectomics.
Brain Connect., 2018
Proceedings of the Neural Information Processing - 25th International Conference, 2018
2017
Proceedings of the 28th Modern Artificial Intelligence and Cognitive Science Conference 2017, 2017
The art of scaling up : A computational account on action selection in basal ganglia.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Experimental and Computational Investigation of the Effect of Caffeine on Human Time Perception.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017
2016
Soft Comput., 2016
Does the regulation of local excitation-inhibition balance aid in recovery of functional connectivity? A computational account.
NeuroImage, 2016
Proceedings of the Ninth International Conference on Contemporary Computing, 2016
AAMI Based ECG Heart-Beat Time-Series Clustering Using Unsupervised ELM and Decision Rule.
Proceedings of the 2016 International Conference on Information Technology, 2016
2015
An Exploratory Investigation of Functional Network Connectivity of Empathy and Default Mode Networks in a Free-Viewing Task.
Brain Connect., 2015
A knowledge driven supervised learning approach to identify gene network of differentially up-regulated genes during neuronal senescence in Rattus norvegicus.
Biosyst., 2015
2014
Neurocomputing, 2014
Int. J. Knowl. Eng. Soft Data Paradigms, 2014
Churn prediction using comprehensible support vector machine: An analytical CRM application.
Appl. Soft Comput., 2014
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2014
Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2014
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Proceedings of the Neural Information Processing - 21st International Conference, 2014
2013
Int. J. Knowl. Eng. Soft Data Paradigms, 2013
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013
2012
Changing the structure of complex visuo-motor sequences selectively activates the fronto-parietal network.
NeuroImage, 2012
2011
Rule extraction from support vector machines: a hybrid approach for solving classification and regression problems.
Int. J. Inf. Decis. Sci., 2011
Role of CAMKII in reinforcement learning: a computational model of glutamate and dopamine signaling pathways.
Biol. Cybern., 2011
Correlating Binding Site Residues of the Protein and Ligand Features to Its Functionality.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2011
Local and Global Intrinsic Dimensionality Estimation for Better Chemical Space Representation.
Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2011
2010
Expert Syst. Appl., 2010
Rule Extraction from Support Vector Machine Using Modified Active Learning Based Approach: An Application to CRM.
Proceedings of the Knowledge-Based and Intelligent Information and Engineering Systems, 2010
A Class Specific Dimensionality Reduction Framework for Class Imbalance Problem: CPC_SMOTE.
Proceedings of the KDIR 2010, 2010
2009
Analysis of n-Gram based Promoter Recognition Methods and Application to Whole Genome Promoter Prediction.
Silico Biol., 2009
Data Mining Using Rules Extracted from SVM: An Application to Churn Prediction in Bank Credit Cards.
Proceedings of the Rough Sets, 2009
A Computational study of pre-synaptic re-uptake of dopamine on phosphorylation of DARPP-32.
Proceedings of the International Joint Conference on Neural Networks, 2009
2008
Feature selection using correlation fractal dimension: Issues and applications in binary classification problems.
Appl. Soft Comput., 2008
Proceedings of the 2008 International Conference on Information Technology, 2008
E.coli Promoter Recognition Through Wavelets.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2008
2007
Int. J. Data Warehous. Min., 2007
Analysis of <i>E.coli</i> promoter recognition problem in dinucleotide feature space.
Bioinform., 2007
An Unbalanced Data Classification Model Using Hybrid Sampling Technique for Fraud Detection.
Proceedings of the Pattern Recognition and Machine Intelligence, 2007
Proceedings of the IJCAI 2007, 2007
Proceedings of the IJCAI 2007, 2007
Proceedings of the 2007 International Conference on Computing: Theory and Applications (ICCTA 2007), 2007
2006
fMRI investigation of cortical and subcortical networks in the learning of abstract and effector-specific representations of motor sequences.
NeuroImage, 2006
Proceedings of the International Joint Conference on Neural Networks, 2006
Proceedings of the International Joint Conference on Neural Networks, 2006
Proceedings of the Computer Vision, Graphics and Image Processing, 5th Indian Conference, 2006
Proceedings of the IEEE International Conference on Fuzzy Systems, 2006
Proceedings of the 9th International Conference in Information Technology, 2006
2005
Proceedings of the Intelligence and Security Informatics, 2005
Web Usage Mining Using Rough Agglomerative Clustering.
Proceedings of the ICEIS 2005, 2005
Proceedings of the Distributed Computing and Internet Technology, 2005
2004
Proceedings of the Neural Information Processing, 11th International Conference, 2004
State Estimation and Tracking Problems: A Comparison Between Kalman Filter and Recurrent Neural Networks.
Proceedings of the Neural Information Processing, 11th International Conference, 2004
2003
Identification of Promoter Region in a DNA Sequence Using EM Algorithm and Neural Networks.
Proceedings of the 1st Indian International Conference on Artificial Intelligence, 2003
2002
Proceedings of the 2002 Language Engineering Conference (LEC 2002), 2002
2001
Proceedings of the Sequence Learning - Paradigms, Algorithms, and Applications, 2001
2000
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000
1998
A Sequence Learning Architecture Based on Cortico-Basal Ganglionic Loops and Reinforcement Learning.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998
1997
Neural Comput. Appl., 1997
Representational Issues in Neural Systems: Example from a Neural Network Model of Set-Shifting Paradigm Experiments.
Proceedings of the Connectionist Representations: 4th Neural Computation and Psychology Workshop, 1997
1994
Modeling the role of frontal lobes in sequential task performance. I. Basic structure and primacy effects.
Neural Networks, 1994
1990
Networks modeling the involvement of the frontal lobes in learning and performance of flexible movement sequences.
Proceedings of the IJCNN 1990, 1990